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Data · dataset · 2019

Identifying deep sea fish from videos of a benthic ecosystem in Barkley Canyon

Listed in Borealis and Agri-environmental Research Data Dataverse — shown once because both records carry DOI 10.5683/sp2/aagzdg

Ocean Networks Canada (ONC) operates several cabled ocean observatories in the Pacific and Arctic oceans, which collect a variety of data types.

Description

This data set contains 1004 high-resolution 30-second video clips from Barkley Canyon Axis and accompanying species annotations. Barkley Canyon is a submarine canyon located approximately 80 km off the west coast of Vancouver Island, British Columbia, Canada.

The canyon axis site is located in roughly the middle of the canyon. The 30 second clips (about 60MB each) are captured 3 times a day for a year (2:00AM, 10:00AM, 6:00PM UTC), with higher frequency sampling every 2 hours for the first week of the collection period. The subsampling period was selected to reduce aliasing from tides.

Read the rest (2 more)

For all videos, the camera was facing northeast with a view of the seafloor at 45° down from horizontal, so that the field of view imaged was approximately 2m^2 of the sediment-covered seabed. Four species of interest were identified in the videos – hagfish (Eptatretus sp.), eelpouts (Lichenchelys sp.), poachers (Agonidae family) and sablefish (Anoplopoma fimbria). Videos were reviewed by a biological expert annotator who recorded what species were present and when individuals entered and exited the field of view for each video.

The dataset was originally curated to support the development of computer vision algorithms capable of identifying the four species of interest.

Links

Where it is published

Catalogue records · 1

Topics

Stated by source
Computer and Information Science · Computer and Information Science · Earth and Environmental Sciences · Earth and Environmental Sciences
From keywords
Chemistry · Computer Science & AI · Computer Science & AI · Computer vision · Computer vision · Earth & Environmental Science · Earth & Environmental Science · Economics & Finance · Engineering · Humanities · Life Sciences · Mathematics & Statistics · Medicine & Health · Ocean & Atmospheric Science · Ocean & Atmospheric Science · Social Science
Inferred from text
Video 75%
Provenance · 2 source records, 27 field assertions
SourceKeyLast seenRaw
Borealisdoi:10.5683/SP2/AAGZDG11 d agoJSON v1
Agri-environmental Research Data Dataversedoi:10.5683/SP2/AAGZDG9 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:field:460304mapping · borealisdata cavocabulary-mapper@1.0.0keywords['computer vision']
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concepts[field].dataverse_subject:earth-and-environmental-sciencessource · borealisdata ca dataverseconnector:borealisdata_ca_dataverse@1.0.0/subjects
concepts[field].dataverse_subject:earth-and-environmental-sciencessource · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
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concepts[field].local:field:medicine-healthmapping · borealisdata ca dataverseconnector:borealisdata_ca_dataverse@1.0.0/subjects
concepts[field].local:field:ocean-atmosphericmapping · borealisdata ca dataverseconnector:borealisdata_ca_dataverse@1.0.0/subjects
concepts[field].local:field:ocean-atmosphericmapping · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].local:field:social-sciencemapping · borealisdata ca dataverseconnector:borealisdata_ca_dataverse@1.0.0/subjects
concepts[modality].local:modality:videoenrichment · borealisdata cakeyword-concept-rules@1.0.0title+description (75%)
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